Aqua MODIS fire data from the MYD14 product over western United States, September 15, 2018.View full-size image
The Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Thermal Anomalies and Fire MYD14 Version 6 product is produced daily in 5-minute temporal satellite increments (swaths). The MYD14 product is used to generate all of the higher level fire products, but can also be used to identify fires and other thermal anomalies, such as volcanoes. Each swath of data is approximately 2,030 kilometers along track (long), and 2,300 kilometers across track (wide).
Validation at stage 3 has been achieved for all MODIS Thermal Anomalies and Fire products. Further details regarding MODIS land product validation for the MYD14 data product is available from the MODIS land team validation site.
|File Size||0.25 MB|
|Temporal Resolution||< Daily|
|Temporal Extent||2002-07-04 to 2023-02-25|
|Coordinate System||None (Swath)|
|Geographic Dimensions||2300 km x 2030|
|Number of Science Dataset (SDS) Layers||30|
|Columns/Rows||1354 x 2030|
|Pixel Size||1000 m|
|SDS Name||Description||Units||Data Type||Fill Value||No Data Value||Valid Range||Scale Factor|
|Fire Mask||Confidence of fire||Class Flag||8-bit unsigned integer||0||N/A||1 to 9||N/A|
|Algorithm QA||Pixel quality indicators||Bit Field||32-bit unsigned integer||4.3E+09||N/A||0 to 4294966531||N/A|
|FP_line||Granule line of fire pixel||N/A||16-bit signed integer||N/A||N/A||N/A||N/A|
|FP_sample||Granule sample of fire pixel||N/A||16-bit signed integer||N/A||N/A||N/A||N/A|
|FP_latitude||Latitude at center of fire pixel||Degree||32-bit floating point||N/A||N/A||-90 to 90||N/A|
|FP_longitude||Longitude at center of fire pixel||Degree||32-bit floating point||N/A||N/A||-180 to 180||N/A|
|FP_R2||Near-IR (band 2) reflectance of fire pixel (daytime only)||N/A||32-bit floating point||N/A||N/A||N/A||N/A|
|FP_T21||Channel 21/22 brightness temperature of fire pixel||Kelvin||32-bit floating point||N/A||N/A||N/A||N/A|
|FP_T31||Channel 31 brightness temperature of fire pixel||Kelvin||32-bit floating point||N/A||N/A||N/A||N/A|
|FP_MeanT21||Background channel 21/22 brightness temperature||Kelvin||32-bit floating point||N/A||N/A||N/A||N/A|
|FP_MeanT31||Background channel 31 brightness temperature||Kelvin||32-bit floating point||N/A||N/A||N/A||N/A|
|FP_MeanDT||Background brightness temperature difference||Kelvin||32-bit floating point||N/A||N/A||N/A||N/A|
|FP_MAD_T21||Background channel 21/22 brightness temperature mean absolute deviation||Kelvin||32-bit floating point||N/A||N/A||N/A||N/A|
|FP_MAD_T31||Background channel 31 brightness temperature mean absolute deviation||Kelvin||64-bit floating point||N/A||N/A||N/A||N/A|
|FP_MAD_DT||Background brightness temperature difference mean absolute deviation||Kelvin||64-bit floating point||N/A||N/A||N/A||N/A|
|FP_power||Fire radiative power||Megawatts||64-bit floating point||N/A||N/A||N/A||N/A|
|FP_AdjCloud||Number of adjacent cloud pixels||N/A||8-bit unsigned integer||N/A||N/A||0 to 8||N/A|
|FP_AdjWater||Number of adjacent water pixels||N/A||8-bit unsigned integer||N/A||N/A||0 to 8||N/A|
|FP_WinSize||Background window size||N/A||8-bit unsigned integer||N/A||N/A||N/A||N/A|
|FP_NumValid||Number of valid background pixels||N/A||16-bit signed integer||N/A||N/A||N/A||N/A|
|FP_confidence||Detection confidence estimate||Percent||8-bit unsigned integer||N/A||N/A||1 to 100||N/A|
|FP_land||Land flag (0 = water pixel; 1 = land pixel)||N/A||8-bit unsigned integer||N/A||N/A||N/A||N/A|
|FP_MeanR2||Background channel 2 reflectance||N/A||32-bit floating point||N/A||N/A||N/A||N/A|
|FP_MAD_R2||Background channel 2 reflectance mean absolute deviation||N/A||32-bit floating point||N/A||N/A||N/A||N/A|
|FP_ViewZenAng||View zenith angle||Degree||32-bit floating point||N/A||N/A||N/A||N/A|
|FP_SolZenAng||Solar zenith angle||Degree||32-bit floating point||N/A||N/A||0 to 180||N/A|
|FP_RelAzAng||Relative azimuth angle||Degree||32-bit floating point||N/A||N/A||-180 to 180||N/A|
|FP_CMG_row||CMG row||N/A||16-bit signed integer||N/A||N/A||N/A||N/A|
|FP_CMG_col||CMG column||N/A||16-bit signed integer||N/A||N/A||N/A||N/A|
|CMG_night¹||Night flag||N/A||16-bit unsigned integer||N/A||N/A||N/A||N/A|
¹Additional Climate Modeling Grid (CMG) layers are also found among the SDSs. Those CMG layers contain information used for the generation of Level 4 CMG products.
|0||Not processed (missing input data)|
|1||Not processed (obsolete; not used since Collection 1)|
|2||Not processed (other reason)|
|3||Non-fire water pixel|
|4||Cloud (land or water)|
|5||Non-fire land pixel|
|6||Unknown (land or water)|
|7||Fire (low confidence, land or water)|
|8||Fire (nominal confidence, land or water)|
|9||Fire (high confidence, land or water)|
The quality layer is stored in an efficient bit-encoded manner. The unpack_sds_bits executable from the LDOPE Tools is available to the user community to help parse and interpret the quality layer.
The Quality Assessment (QA) bit flags for the quality layer are provided in Table 6 of the User Guide.
Quality assurance information should be considered when determining the usability of data for a particular science application. The ArcGIS MODIS-VIIRS Python Toolbox contains tools capable of decoding quality data layers while producing thematic quality raster files for each quality attribute.
Known issues are described on the MODIS Land Quality Assessment website and in Section 7.2 of the User Guide which covers Pre-November 2000 Data Quality, Detection Confidence, Flagging of Static Sources, and the August 2020 MODIS Aqua Outage.